Retrospective Evaluation of the Influence the Interleukin‐1 Genotype on Radiographic Bone Levels in Treated Periodontal Patients Over 10 Years

• DOI: 10.1902/jop.2001.72.6.767
• Publication Date: 2005-02-02T11:56:48Z
• Authors: Marcello Cattabriga; Roberto Rotundo; Leonardo Muzzi; Michele Nieri; Guerina Verrocchi; Francesco Cairo; Giovanpaolo Pini ...
• Keywords: Adult; Male; Observer Variation; Analysis of Variance; Polymorphism, Genetic; Genotype; Alveolar Bone Loss; Reproducibility of Results; DNA; Middle Aged; Radiography; 03 medical and health sciences; 0302 clinical medicine; Alveolar Process; Dental Scaling; Humans; Female; Genetic Predisposition to Disease; Periodontitis; Follow-Up Studies; Interleukin-1; Retrospective Studies

A difference in genetic susceptibility to plaque accumulation has been advocated explain different responses periodontal therapy. The purpose of this study is assess the role interleukin-1 (IL-1) polymorphism on rate bone and tooth loss non-smoking periodontally treated patients during maintenance.Sixty consecutive (mean age 46.8 +/- 5.0) with moderate severe periodontitis, maintained for over 10 years were selected. At baseline (T0), radiographic evaluation (cemento-enamel junction [CEJ]-root apex, CEJ-bottom defect mesial distal, CEJ-bone crest crown-root ratio) was performed. All received scaling root planing; 36 then underwent surgical Subsequently, all enrolled a maintenance program recall visits every 3.4 1.0 months at least years. latest visit (T2) same measurements evaluated taken DNA sample IL-1 testing collected sent analysis.Twenty-three 60 (38.3%) genotype positive. total 52 teeth (3.3%) out 1,566 lost due periodontitis between T0 T2; 28 957 (2.9%) negative group 24 609 (3.9%) positive group. mean variation level (DeltaBD) averaged -0.04 mm 0.01 patients. (DeltaBC) -0.24 -0.28 However, few showed significant differences response therapy based initial levels genotype. who minimal responded better than patients.On average, there no related after non-smoking, well-maintained population. On an individual patient basis, genotype, combination level, seems useful beginning predicting variation.